Surrogate modeling for efficient urban flood prediction

This research highlights the impact of AI in tackling the complexities of metropolitan-scale hydrological systems. We simulated flooding from Hurricane Harvey in Houston and demonstrated that replacing the SWMM model with AI reduced computational costs by over 90% while maintaining high accuracy